Senior Software Engineer

Security Detection, Investigation & Response Systems 

• Design and build detection pipelines across identity, endpoint, data, and application signals to uncover vulnerabilities, misconfigurations, and active threats. 

• Develop correlation engines and detection logic that combine multi-source telemetry into high-confidence security signals. 

• Build and operationalize end-to-end detection → validation → prioritization → remediation workflows. 

• Implement automated incident response and remediation playbooks leveraging rule-based systems, workflows, and AI-assisted reasoning. 

Security Systems & Platform Engineering 

• Architect and build scalable security platforms and services that process high-volume enterprise telemetry. 

• Develop data pipelines and distributed systems for ingestion, enrichment, and real-time analysis of security signals. 

• Integrate security capabilities into APIs, services, and platform layers to enable reusable and extensible solutions. 

• Ensure systems are designed for reliability, performance, isolation, and security by design. 

Vulnerability Management & Risk Prioritization 

• Build systems to discover and track vulnerabilities across cloud resources, identities, and application environments. 

• Develop prioritization models that incorporate exploitability, impact, and business criticality. 

• Enable workflows that drive end-to-end remediation closure, integrating with engineering systems and developer pipelines. 

• Align with frameworks such as Defender, MDC, ASPM to enable holistic risk visibility and response. 

Security for AI Systems (AI-Native Threat Protection) 

• Define and implement controls for AI-specific threat vectors (prompt injection, data leakage, model abuse, adversarial inputs). 

• Build detection and mitigation mechanisms for LLM-based systems, RAG pipelines, and agentic workflows. 

• Embed security into AI system design, inference pipelines, and orchestration layers. 

• Contribute to responsible AI practices, governance, and secure deployment patterns. 

Data, Telemetry & Observability 

• Build rich telemetry systems to track security posture, risk signals, and system performance. 

• Develop analytics to measure detection effectiveness, false positives, and response outcomes. 

• Leverage telemetry to enable continuous improvement loops across detection and response systems. 

Cross-Company Collaboration & Impact 

• Partner with Engineering, Product, Data Science, and Security teams to translate security problems into scalable engineering solutions. 

• Work across a matrixed organization to align signals, platforms, and response workflows. 

• Help define security readiness standards and onboarding playbooks for enterprise AI adoption. 

Technical Leadership & Engineering Excellence 

• Lead design and delivery of complex, large-scale security systems from concept to production. 

• Establish best practices for secure coding, system design, reliability, and governance. 

• Drive data-driven and evidence-based decision-making across security engineering initiatives. 

• Mentor engineers and elevate the organization’s security engineering maturity.

Required Qualifications:

• Bachelor’s Degree AND 6+ years of experience in security engineering, software engineering, or distributed systems. 

Preferred Qualifications:

• Strong experience building production-grade security systems (detections, pipelines, or platforms). 

• Deep understanding of security domains such as identity, cloud security, endpoint security, or data protection. 

• Strong programming skills (e.g., Python, C#, or Java) for system design, automation, and pipeline development. 

• Experience building and operating distributed systems and large-scale data pipelines. 

Preferred

• 8+ years of experience in security engineering and large-scale system design. 

• Experience with security detection engineering, threat modeling, and incident response systems. 

• Familiarity with AI/ML systems and their security implications (LLMs, RAG, agentic workflows). 

• Expertise in cloud security platforms (Azure preferred) and enterprise-scale environments. 

• Experience with security telemetry platforms, SIEM systems, or data lakes. 

• Proven ability to operate in ambiguous, cross-org environments and deliver end-to-end systems. 

• Strong ability to communicate complex security and system concepts to technical and executive stakeholders.